An implementation of Principal Direction Divisive Partitioning in CUDA. University project for the course "Software & Programming of High Perfomance Systems". Course Code: CEID_NE5407

Calculate mean of 2D arrays on GPU

Bechmarck basado en la operacion suma para CPU y GPUs Nvidia con tecnología CUDA.

Code from my Tutorial series on Hive about Nvidia's CUDA API

LeNet-1 Forward Propagation algorithm in CUDA

Modelling parallel processing with GPU

Parallel Heterogeneous CPU/GPU computing

Parallel implementation hack of inherently sequential algorithms. Random Number Generators - Additive LFG and GFSR - implemented with NVIDIA CUDA using Continuous Subsequence Technique and Leap Frog Technique. Paper presented in the International AI Conference 2022, Tel Aviv, Israel.

Calculate minus of 2D arrays on GPU

High-performance computing on clusters using NVIDIA graphics accelerators. GPU Programming on NVIDIA CUDA, profiling and optimization with NVVP.

The general Idea of this project is to generate a Fibonacci Sequence and sort it by Manual Sorting Algorithms Such as (Bubble Sort, Quick Sort, Merge Sort, and Heap Sort) And Also Sorting Algorithms by Thrust Library such as (‘thrust::sort’ and ‘thrust::transform’) at the same time.

aes on a device - Nvidia Graphics Card -

Distributed MPI based Heterogenous GPU Solver for Markov Decision Processes (MDP)

Basic concepts on CUDA

MicroCoin miner for NVIDIA CUDA compatible GPUs

RMAT Graph Generator for NVIDIA CUDA

This repo contains CUDA Programming with C++. Projects are done to learn CUDA from scratch.

Efficient implementations of Merge Sort and Bitonic Sort algorithms using CUDA for GPU parallel processing, resulting in accelerated sorting of large arrays. Includes both CPU and GPU versions, along with a performance comparison.